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Wisconsin Watch, a nonprofit news organization that uses journalism to make Wisconsin communities strong, informed and connected, seeks a data investigative reporter to expand our capacity to provide vital evidence and context to our reporting.

Working with other journalists in our statewide and Milwaukee newsrooms, you will use data to help us better understand Wisconsin communities and hold leaders to account. We believe that access to truthful local news is critical to a healthy democracy and to finding solutions to the most pressing problems of everyday life.

Job duties

Reporting to the managing editor, you will: 

• Find, compile and clean data that powers our journalism.
• Plan and execute quantitative analyses — and interpret results — to support stories and visualizations.
• Design and build creative static and interactive graphics to visualize findings.   
• Pitch and develop your own stories with support from editors. 
• Help other journalists advance their data journalism skills, teaching and encouraging best practices across the newsrooms. 

At Wisconsin Watch we make sure that we are producing quality journalism and give our reporters the time they need to make sure the job is done well. Rather than chasing clicks, we measure success through the impact we deliver to those we serve.

Required qualifications: The ideal candidate will bring a public service mindset and a demonstrated commitment to nonpartisan journalism ethics, including a commitment to abide by Wisconsin Watch’s ethics policies. More specifically, we’re looking for a reporter who: 

• Has worked on data projects in a newsroom or has performed statistical analysis in a  research setting. 
• Demonstrates ability to analyze data in Python, R, SQL or a similar high-level language.
• Has experience with off-the-shelf data visualization tools like Datawrapper or Flourish.
• Demonstrates ability to formulate compelling story pitches to editors. 
• Aches to report and support stories that explore solutions to challenges. 
• Has experience with or ideas about the many ways newsrooms can inform the public.
• Has experience working with others. Wisconsin Watch is a deeply collaborative organization. Our journalists frequently team up with each other or with colleagues at other news outlets to maximize the potential impact of our reporting. 

Bonus skills:

• Familiarity with Wisconsin, its history and its politics. 
• Beat reporting experience.
• Spanish-language proficiency.

Don’t check off every box in the requirements listed above? Please apply anyway! Wisconsin Watch is dedicated to building an inclusive, diverse, equitable, and accessible workplace that fosters a sense of belonging – so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to still consider submitting an application. You may be just the right candidate for this role or another one of our openings!

Location: The reporter must be located in Wisconsin. Wisconsin Watch is a statewide news organization with staff based in Madison, Milwaukee and Green Bay.  

Salary and benefits: The salary range is $50,000-$70,000. Benefits include five weeks of vacation; paid sick leave and family and caregiver leave; 75% reimbursement for silver-tier health and dental insurance on the federal exchange; 100% vision insurance coverage; $100 per paycheck automatic employer contribution to a 403(b) retirement plan (no match required) after 90 days.

Final offer amounts will carefully consider multiple factors, and higher compensation may be available for someone with advanced skills and/or experience.

Deadline: Applications will be accepted until the position is filled. For best consideration, apply by June 2.

To apply: Please submit a single PDF of your resume and work samples and answer some brief questions in this application form. If you’d like to chat about the job before applying, contact Managing Editor Jim Malewitz at jmalewitz@wisconsinwatch.org.

Wisconsin Watch is dedicated to improving our newsroom by better reflecting the people we cover. We are committed to diversity and building an inclusive environment for people of all backgrounds and ages. We especially encourage members of traditionally underrepresented communities to apply, including women, people of color, LGBTQ+ people, and people with disabilities. We are an equal-opportunity employer and prohibit discrimination and harassment of any kind. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, national origin, age, or any other status protected under applicable law.

About Wisconsin Watch and Milwaukee Neighborhood News Service

Founded in 2009, Wisconsin Watch is a nonprofit news organization dedicated to producing independent, nonpartisan journalism that makes the communities of Wisconsin strong, informed and connected. We believe that access to truthful local news is critical to a healthy democracy and to finding solutions to the most pressing problems of everyday life. Under the Wisconsin Watch umbrella, we have multiple news departments including a statewide investigative and explanatory projects team, a Capitol bureau, a regional collaboration in northeast Wisconsin called the NEW News Lab, and Milwaukee Neighborhood News Service (NNS). 

NNS was founded in 2011 as a mission-driven newsroom that reports on and celebrates Milwaukee’s central city neighborhoods. Through its reporting, website, e-newsletters and News414 texting service, NNS covers ordinary people who do extraordinary things, connects readers with resources and serves as a watchdog for their neighbors. Together, Wisconsin Watch’s state team and NNS reporters collaborate to produce solutions-oriented investigative and explanatory stories highlighting issues affecting communities in Milwaukee.

Wisconsin Watch seeks data investigative reporter is a post from Wisconsin Watch, a non-profit investigative news site covering Wisconsin since 2009. Please consider making a contribution to support our journalism.

When student transporters seek new school bus equipment, what do they look for? The options can be intricately dizzying, prompting them to turn to a resource that previously assisted with mundane email issues and computer peripherals not working.

Susan Keller, like many student transportation leaders, relies on the expertise of her school district IT department to help make the right choices, especially when it comes to implementing a new camera system. The transportation manager for Cumberland Valley
School District in Mechanicsburg, Pennsylvania, said IT played a “critical” role in upgrading to Safe Fleet camera systems and the cloud-based Commander video management system in August 2023.

“They provide all of the technical knowledge in achieving our dream of a hands-off school bus camera system,” she added. “We are now able to access video independently without inconveniencing contractors and drivers with requests to manually retrieve video.”

Cumberland Valley, she explained, uses several small and large contractors in addition to the 90 district school buses that operate three-tiers of service each day across a 103-squaree-mile service area. The school district purchases and installs the equipment into the contractors’ vehicles, a complex project in itself.

“While looking at various school bus camera models, I was in constant conversation with our IT department as to what each scenario would involve from their end,” she said. Several questions needed answers. Would the system require Wi-Fi access points on buildings? Would access points at contractor lots be prudent? Would the district choose cellular technology? If so, what would that annual cost be?

“There were many details that I would not have known to ask or look for that they were able to guide me in,” Keller shared.

In the end, IT drove the decision to utilize Wi-Fi hotspots with access spots at each school building and bus loop as well as the transportation facility. Cellular with its monthly data cost and live look-in feature was deemed too expensive and challenging to manage.

“Everybody’s always shorthanded,” she added. Keller said she can now respond to requests made from drivers during their route to download and review flagged footage at her desk. Previously, she shared, anyone including contractors could download video and
store it on their computers or upload it to Google Drive. “It was not as secure as we would have liked,” she explained.

Meanwhile, Denver Public Schools in Colorado is working closely with its IT department as well as multiple vendors on a suite of video solutions that includes AI-enhanced software.

Albert Samora, the executive director of transportation, said Denver is due for an upgrade, as the existing cameras date back to 2018. But first, he wants to ensure the current project, which was slowed by COVID-19, is a success.

The first phase, all video storage and management moving to the cloud, went as planned. Phase two, seamlessly connecting each school bus camera system to Wi-Fi and cellular for downloading, is in process.

“Our intention with this solution for our cameras was to have access anywhere in the city,” he explained. That entails school buses connecting to Wi-Fi at the transportation facility, using cellular while on route and then connecting again to Wi-Fi access points at each school building during drop-off and pick-up. That has been a challenge.

“We ran into the problem that when they would get to the schools, even though the network is the same network, because of the different IP address it would see [the attempted connection] as a threat,” he continued, adding the issue is with the school district firewall. “We’re currently working through that.”

The temporary solution is to only access videos at the transportation facilities via Wi- Fi. Progress has been slow, thanks to the COVID-19 slowdown that Samora said the district is just now emerging from. That led to the following recommendation.

“Take your advice from somebody technical. Pull technical teams together and have them make promises that are realistic,” he shared, citing the importance of working closely with the school district’s IT department to manage expectations and hold all parties accountable.

Phase three is expected to be the incorporation of live video from Samsara’s AI-enhanced driver coaching cameras, which Denver currently only uses in its white fleet vehicles, with the existing Safety Vision school bus cameras.

Currently, the district has a forward-facing camera out the front windshield that Samora said he would like replaced by the Samsara system that views the road and the driver. The four Safety System cameras would record footage of the stairwell, from the rear forward, the forward to the rear, and in the middle of the school bus.

Next, Samora said he’d like to take AI to the next level by using his camera system to predict other risk factors, such as bus aides working with students during routes. “I’m looking for a company that can provide me data on a possible [paraprofessional] striking a student,” citing a desire to avoid incidents like those that have occurred recently in neighboring school districts.

He added that he would be interested in creating personal space boundaries around students and staff, similar to a geofence, for detecting when a normal action crosses the line to something improper or downright illegal—the difference between an aide handing a child a tablet and the aide back-handing the child, or proper child safety restraint securement and inappropriate or illegal touching.

“Instead of me having to go through hundreds of hours of video, I can actually get a report that says the risk factor on this, if we said the risk factor is zero to 10, is a seven and a half. And that’s not acceptable. I’ve got to look at this, get a set of human eyes on it,” added.

Samora, who has a bachelor’s degree in computer engineering. “For me, it’s interesting. I don’t know that it’s a new idea, but I haven’t heard of the industry talking about this.”

He said he also wants to receive similar instant alerts to review video when yaw sensors detect, for example, driver acceleration and harsh braking that reaches a certain risk level. Student transportation operations rely heavily on IT, but none more so than First
Student, North America’s largest school bus contractor. Camera systems are just one piece—a vital one—of the extensive technology suite integrated across a fleet of 45,000 school buses.

However, managing the data, particularly video footage, presents the biggest challenge.
With all the data collection now possible for student transporters, video or otherwise,
that’s where IT can play an active role.

“You can get all this data from technology, but it’s what you do with it, right?” commented Melinda Hall, First Student’s operations support manager. “You need IT to pull the reports together, give you what you need, so that operations can then do something with it.”

That requires IT to be privy to conversations between transportation departments and vendors in terms of not only the technology but what school districts are looking and what parents are wanting school districts to deliver.

“Senior IT members are starting to go into the bidding proposal process and participate, because of the saturation of technology offerings,” said Brent Maher, First Student’s vice president of information technology, adding that for as large as the company is, IT can’t be a part of every deal. A school district IT department at a smaller scale likely would have similar time and workforce constraints. Maher said the most important aspect is for transportation to engage IT professionals for their expert perspectives and know-how.

“If a school district is going to invest any energy in their transportation technology management, we recommend they focus on student data,” he concluded.

Editor’s Note: As reprinted in the March 2025 issue of School Transportation News.

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Related: 8 Must-Know Tips for Bus Camera System Installations
Related: Districts Share How Unified Software Solution Simplifies School Bus Operations
Related: Baltimore County to Install New School Bus Cameras Ahead of Classes
Related: Data: The Power Behind Streamlined Fleet Management

The post As Camera Systems Evolve, IT Collaboration Necessary appeared first on School Transportation News.

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The federal Centers for Disease Control’s Behavioral Risk Factor Surveillance System website, which includes a range of data sets and tools long used to map public health trends, includes this note: 

“CDC’s website is being modified to comply with President Trump’s Executive Orders.” 

What exactly has been modified? The website doesn’t specify. Methodology and data glossaries are no longer readily available. 

The CDC isn’t the only federal agency during President Donald Trump’s second term to alter public information online. A litany of federal websites vanished following Trump’s Jan. 20 inauguration only to reappear later with little to no information about any changes made. Some websites, like the Department of Justice’s database of defendants charged in the Jan. 6 storming of the Capitol, are gone altogether. 

For a data journalist, this removal and possible manipulation of federal data are concerning and frustrating because it limits the information we can use to make sense of our world. 

What exactly is data journalism? The term might confuse some people. To me it means using numbers to investigate inequity and injustice and find patterns and anomalies in an otherwise anecdotal world. 

Credible and accessible federal, state and local data make such investigations possible, allowing us to identify solutions to challenges that affect Wisconsin communities. Journalists are hardly the only people to rely on such data. Federal data sets are used by researchers, public officials and students across the world to understand our communities. 

Certain changes to government websites under a new president are relatively common, as illustrated by the End of Term web archive. The archive has, since 2008, preserved information from government websites at the end of presidential terms — collecting terabytes of information. The difference this time? The Trump administration has sought to tear apart full data sets to remove information it doesn’t like, particularly data related to diversity, equity, inclusion and accessibility. 

A stark example is the Youth Risk Behavior Survey — a nationally representative study that “measures health-related behaviors and experiences that can lead to death and disability among youth and adults.” The survey produced volumes of data, which could help communities understand how race, mental health, gender identity and sexual orientation shape health-related behaviors. The data was temporarily taken offline until a court order required the Department of Health and Human Services  to restore the website. 

A note on the website now says, in part: “This page does not reflect biological reality and therefore the Administration and this Department rejects it.” 

Still, like with other restored websites, we don’t know whether information has been scrubbed or changed to conform with the Trump administration’s worldview. We don’t know whether other data or information will change without notice. 

Thankfully, journalists and coding experts are archiving all the data they can get their hands on. Big Local News, Library Innovation Lab, Internet Archive and Data Rescue Project are among organizations making sure the public has access to such information, as is our right.

But these archivists can save only what is already available. They can’t tell us what is being removed or manipulated before data reaches the public. They can’t tell us what information is being kept secret. Americans have long disagreed on politics, and that’s OK. Partisan debate is healthy and necessary in a democracy. But partisanship is now sowing mistrust in the data we rely on to tell the American story. 

And right now? We need concrete facts more than ever.

Disappearing, altered federal websites are a problem for everyone is a post from Wisconsin Watch, a non-profit investigative news site covering Wisconsin since 2009. Please consider making a contribution to support our journalism.

There’s no getting around the fact that transporting students is an expensive enterprise. Add to that the extra measures needed for serving students with disabilities, and costs grow substantially higher than for other routine operations.

For school some districts, at least a portion of that extra expense is being offset with funds from the federal government. Through provisions in the legislation authorizing Medicaid funding, school systems may file for reimbursement for transportation to and from specified eligible services that students with disabilities need during the school day. These services can include physical therapy, occupational therapy, speech pathology or therapy services, psychological counseling, and nursing services.

Of course, that’s based on acceptable submission of the required reports, which in turn rests on providing accurate ridership figures. Currently, reporting practices vary among school districts across the country, from relying on paper-based approaches to capitalizing on advanced features offered by routing software and related student ridership verification.

Teena Mitchell, special needs transportation coordinator for Greenville County Schools in Greenville, South Carolina, noted that considering the extra costs involved in serving special needs riders, seeking reimbursement is well worth the effort.

“I think it’s safe to say the cost of transporting students with disabilities is substantially higher than transporting those without them and plays a major role in the overall cost of educating our students with disabilities,” said Mitchell, who is also president of the National Association for Pupil Transportation.

Even if reimbursements go back into a school district’s general fund rather than the transportation department’s budget, she added, the dollars benefit the entire district and can be tracked back to the benefit of the transportation department in supporting areas such as personnel, training and equipment needs.

Of the 78,000 students Greenville County serves daily, nearly 16 percent are students with disabilities. The vat vast majority of those students, 88 percent according to Mitchell, receive the same transportation as non-disabled students and ride general education buses. The remaining 12 percent receive specialized transportation and are served on 111 specialized school buses.

Payment is based on a standard amount per trip. For the 2023-2024 school year, the amount was $13.35 per trip although the rate as of Oct. 1 has increased to $29.06. At the standard of $13.35 per trip, a typical school district of Greenville’s size could have expected to receive about $221,000 this school year, Mitchell calculated.

To file for reimbursement, school bus drivers are given a form that lists qualified students listed for the route in question and the dates transported. When two weeks of information has been recorded, a clerk who manages the program enters the information into the Medicaid system for payment.

The school district has routing software but as of this report wasn’t using for tracking Medicaid reimbursements. However, transportation staff were evaluating options for moving in that direction.

This step has already been taken at Colorado’s Weld County School District 6, said Chad Hawley, director of transportation. Routing software is now being used to track ridership in the district’s 60 routes, including 26 designated for serving students who require specialized transportation.

Software features include custom reporting functionality to capture and document data such as days qualifying students rode, where and what time they were picked up and dropped off, and which personnel were involved. A student information specialist incorporates the relevant details in a report that is shared with the Medicaid specialist in the district’s finance department.

Along with improved accuracy, the workload involved in reporting has been reduced.

“We used to have someone collect daily student counts from all of our specialized routes, input the data into a spreadsheet, and then send all the spreadsheets to the finance department,” Hawley noted. “The previous way was time consuming and not always accurate.”

Plans for a similar approach are in the works at El Dorado Union High School District in Placerville, California, where drivers log attendance and submit monthly reports for transportation provided to an average of 130 students who meet Medicaid requirements.

“When drivers turn in reports, they go first to our dispatchers, who enter the data into a shared spreadsheet,” said Sarah Lemke, director of transportation. “This spreadsheet is then accessible to both the finance team and the student success team, which also tracks our McKinney-Vento [Homeless Assistance Act] students.”

This collective info feeds into a report for both state and federal reimbursements.

Transportation staff currently use routing software to support route planning. “While it doesn’t track attendance directly, this capability is expected once we fully implement the software,” Lemke said, adding the goal is to have it fully operational to support Medicaid tracking this school year. “We’re working to streamline this process into one centralized system. The shared Google sheet we currently use has been very effective for transparency across departments, so we’re optimistic that routing will further enhance that.”

Services provided by an outside firm are central to Medicaid reporting at Hutto Independent School District, where the number of special needs riders has been growing. Currently, the school district located northeast of Austin, Texas transports 242 special needs students out of 4,568 total riders, an increase of 14 percent from last year. This necessitates running 15 routes for students with individualized education programs and 35 general routes with some specialty shuttles and McKinney-Vento routes as well, noted David Uecker, director of transportation.

“A contractor does the filing for us,” Uecker says. “We submit rider counts to the company with our [special education] department handling the reporting.”

Hutto leaders plan to enhance reporting with the implementation of new software. Slated for full adoption in the spring, that move will support tracking of riders with disabilities.

Some school districts have elected not to pursue Medicaid reimbursements, at least for now. That’s the case at Deer Creek School District in Edmond, Oklahoma. The district currently utilizes eight routes to transport 100 students with IEPs each school day but meets those demands without additional federal funding.

“The time it takes to go through the reimbursement process makes it difficult to pursue and maintain districtwide,” said Robert Feinberg, transportation director, echoing a common sentiment of peers nationwide.

At the same time, that decision is subject to review. “There is always a possibility of us beginning to use the program,” Feinberg noted. “Our district will continue to evaluate the process versus the manpower it would take to submit the claims.” He said one scenario that might prompt Deer Creek to begin seeking Medicaid funding would be if the school district experienced a large influx of students who meet reimbursement requirements.

Making It Work
Dealing with the federal government is never simple, and the Medicaid reimbursement process is no exception.

Given the complexity involved, good organization is a must. “Prioritize organization from the beginning,” Lemke said. “And establish a reliable system for collecting needed information in advance.”

The same goes for maintaining the necessary knowledge base. “Special needs transportation is definitely a challenge for many districts,” Feinberg said. “Knowing the local, state and federal laws pertaining to their transportation is vital.”

Targeted training can be a key to effective practice in this area, Mitchell pointed out.
“Training your drivers and attendants to be accurate and consistent can be a challenge, especially if you’re in a larger district,” said Mitchell.

Greenville addresses this need during new-hire training, with all incoming transportation employees receiving at least four days of training in transporting students with disabilities. That includes the Medicaid tracking and reporting process in addition to driver training instruction.

“During this training, we impress on the employees the importance of accuracy and remind them that their signature is their assurance that the form is accurate,” Mitchell added.

“Occasionally there may be updates to the process, and when this happens as it did recently, we schedule an in-service training and also give hand-outs with specific instructions.”

Even with the best training, mistakes can occur. To ensure accuracy, Mitchell said she has found it beneficial to have a staff member oversee the process and review the information generated.

Katrina Morris, who directs transportation at both West Shore Educational School District and Mason County Eastern School District in Michigan, advises those in transportation who have not yet pursued this type of funding to consider going for it.

A lot of districts do not realize that there is money for Medicaid reimbursement for students with special needs who require services,” said Morris, who is also the executive director for the Michigan Association for Pupil Transportation. “Please work with your special ed departments to see if this is an option to help receive the funding you are entitled to.”

Mitchell offered similar advice. “If your program is set up and maintained properly, it can run rather smoothly and bring much-needed funding back into the district to offset our diminishing budgets,” she concluded. “These funds can aid you in providing safe transportation with qualified staff.”

Editor’s Note: As reprinted in the January 2025 issue of School Transportation News.

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Related: 5 Questions to Ask Before Implementing New Software
Related: TSD Conference Panel Discusses Routing for Students with Special Needs
Related: Bus Surveillance Software Solution is Game-Changer for Florida District
Related: Managing Transportation Data and Keeping It Safe

The post School Districts Use Data, Routing For Medicaid Reimbursements appeared first on School Transportation News.

The Corporate Transparency Act is back in play for small businesses including those in the student transportation industry. 

The U.S. Supreme Court on Thursday granted a stay of a 5th Circuit Court of Appeals decision in December that issued a temporary injunction on enforcing the law. In the hope of preventing criminals from hiding illegal acts through corporate anonymity, Congress passed the Corporate Transparency Act in 2021, sandwiched into a larger 1,482-page defense bill. The law initially took effect on Jan. 1, 2024, requiring companies to disclose stakeholder information to the Department of Treasury’s Financial Crimes Enforcement Network, or FinCEN, by Jan. 1, 2025.

In an order that called the law outright Orwellian, however, a federal judge in Texas on Dec. 3 granted an injunction blocking the Corporate Transparency Act from being enforced — a decision that U.S. attorneys quickly appealed to the 5th Circuit, putting the fate of the act in legal limbo.

On Dec. 23, the 5th Circuit granted the government’s motion to keep the law in place through the appeal, only to reverse on Dec. 26. On Jan. 24, the U.S. Supreme Court lifted the stay, through the completion of review before the 5th Circuit.

To make matters even more confusing for business owners, the high court reviewed the government’s request to lift the stay only in the Texas case, leaving in place a second Texas case, Smith v. U.S. Department of Treasury, in which a stay remains, making current reporting voluntary.

A third federal judge in Oregon denied a similar request for an injunction in September, which will be reviewed by the 11th Circuit Court of Appeals.

The U.S. Supreme Court did not provide an explanation for granting the request for a stay — Justice Ketanyi Brown Jackson was the only dissenting voice, noting she did not see a need for the nation’s highest court to intervene because the 5th Circult already expedited its consideration of the appeal by the federal government’s appeal, which already delayed enforcement of the law by nearly four years.

Parties often ask the U.S. Supreme court to review split decisions among appeals court, but since the high court holds arguments for less than 1 percent of the cases submitted, it is impossible to know whether it will step in.

Meanwhile, FinCEN issued an alert last week clarifying the current status of Beneficial Ownership Information (BOI) reporting. While the Supreme Court lifted the injunction in the Texas Top Cop Shop case, a separate injunction in the Smith case remains, temporarily blocking CTA enforcement, FinCEN continued. The government has yet to appeal the Smith ruling.

That means companies do not have an immediate filing requirement, but voluntary filing is available.

If CTA proceeds, small businesses would have to file the required benefit ownership report very quickly. Failure to report required information could result in $591 fines per day of violation as well as up to two years in jail and up to $10,000 in penalties.

“In a limbo like this the best practice is to be ready to file,” Megan Henderson, an attorney at the Longmont, Colorado firm Lyons and Gaddis, advised last month.

Specializing in real estate and business transactions, Henderson said she spent much of the past year advising clients on becoming compliant under the Corporate Transparency Act.

Most businesses that filed paperwork with their state to become incorporated are now required to disclose their beneficial owners with the federal government, but exemptions abound. One big carve out is for larger companies generating more than $5 million in gross receipts annually. The umbrella of “beneficial owners” might be broader than some people think and covering not just owners but indispensable managers as well.

FinCEN published a brief guide to help businesses navigate the requirements. While neither a lawyer nor an accountant is required to file the paperwork, the process can seem daunting, especially for mom and pop establishments with limited time and resources.

“It’s going to impact the contractors that service the school districts,” said Chris Wojciechowski, an accountant at the Bonadio Group in Rochester, New York.

Wojciechowski said the regulation is more burdensome to small businesses with fewer resources.

“There’s such a tight timeline regarding compliance,” he continued. “So how is our businesses going to deal with this? They’re going to have to be nimble and be on top of the transition if they turn the law back on.”

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Related: (STN Podcast E238) Time Will Tell: Shakeups in the School Bus Business World (+ Thomas Built Buses CEO Interview)
Related: IRS Publishes Final Rule on Direct Pay for Tax-exempt Government Agencies
Related: Business As Usual for Collins Bus Customers, Says Forest River

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Similar legislation to the Corporate Transparency Act have already been introduced at the state level. One of the first copycat laws comes from New York lawmakers, requiring companies to report ownership by Jan. 1, 2026.

“It’s tricky because every state has their own regulations. I’ve seen companies who operate in one state come to another state and get slapped pretty hard with fines because they did not dig deep into the state regulations for school buses in that state,” said Mark Szyperski, president of On Your Mark Transportation, a consultancy firm based in Nashville, Tennessee.

For Szyperski, who grew up on the seat of his father’s Greyhound bus between Bay City and Detroit, Michigan, transportation is a family business.

Upon entering a new state, Szyperski said he often arranges to speak with the state’s school bus administrator to go over the basics. To be ready for the court’s outcome on the Corporate Transparency Act, he set up a Google alert and included news of the injunction in his newsletter.

“People need to be aware that [the injunction] could be overturned and then you best be getting ready to put the information into the system,” he said.

Ryan Gray contributed to this report.

The post Update: Supreme Court Reinstates Corporate Transparency Act appeared first on School Transportation News.

Car design is an iterative and proprietary process. Carmakers can spend several years on the design phase for a car, tweaking 3D forms in simulations before building out the most promising designs for physical testing. The details and specs of these tests, including the aerodynamics of a given car design, are typically not made public. Significant advances in performance, such as in fuel efficiency or electric vehicle range, can therefore be slow and siloed from company to company.

MIT engineers say that the search for better car designs can speed up exponentially with the use of generative artificial intelligence tools that can plow through huge amounts of data in seconds and find connections to generate a novel design. While such AI tools exist, the data they would need to learn from have not been available, at least in any sort of accessible, centralized form.

But now, the engineers have made just such a dataset available to the public for the first time. Dubbed DrivAerNet++, the dataset encompasses more than 8,000 car designs, which the engineers generated based on the most common types of cars in the world today. Each design is represented in 3D form and includes information on the car’s aerodynamics — the way air would flow around a given design, based on simulations of fluid dynamics that the group carried out for each design.

Each of the dataset’s 8,000 designs is available in several representations, such as mesh, point cloud, or a simple list of the design’s parameters and dimensions. As such, the dataset can be used by different AI models that are tuned to process data in a particular modality.

DrivAerNet++ is the largest open-source dataset for car aerodynamics that has been developed to date. The engineers envision it being used as an extensive library of realistic car designs, with detailed aerodynamics data that can be used to quickly train any AI model. These models can then just as quickly generate novel designs that could potentially lead to more fuel-efficient cars and electric vehicles with longer range, in a fraction of the time that it takes the automotive industry today.

“This dataset lays the foundation for the next generation of AI applications in engineering, promoting efficient design processes, cutting R&D costs, and driving advancements toward a more sustainable automotive future,” says Mohamed Elrefaie, a mechanical engineering graduate student at MIT.

Elrefaie and his colleagues will present a paper detailing the new dataset, and AI methods that could be applied to it, at the NeurIPS conference in December. His co-authors are Faez Ahmed, assistant professor of mechanical engineering at MIT, along with Angela Dai, associate professor of computer science at the Technical University of Munich, and Florin Marar of BETA CAE Systems.

Filling the data gap

Ahmed leads the Design Computation and Digital Engineering Lab (DeCoDE) at MIT, where his group explores ways in which AI and machine-learning tools can be used to enhance the design of complex engineering systems and products, including car technology.

“Often when designing a car, the forward process is so expensive that manufacturers can only tweak a car a little bit from one version to the next,” Ahmed says. “But if you have larger datasets where you know the performance of each design, now you can train machine-learning models to iterate fast so you are more likely to get a better design.”

And speed, particularly for advancing car technology, is particularly pressing now.

“This is the best time for accelerating car innovations, as automobiles are one of the largest polluters in the world, and the faster we can shave off that contribution, the more we can help the climate,” Elrefaie says.

In looking at the process of new car design, the researchers found that, while there are AI models that could crank through many car designs to generate optimal designs, the car data that is actually available is limited. Some researchers had previously assembled small datasets of simulated car designs, while car manufacturers rarely release the specs of the actual designs they explore, test, and ultimately manufacture.

The team sought to fill the data gap, particularly with respect to a car’s aerodynamics, which plays a key role in setting the range of an electric vehicle, and the fuel efficiency of an internal combustion engine. The challenge, they realized, was in assembling a dataset of thousands of car designs, each of which is physically accurate in their function and form, without the benefit of physically testing and measuring their performance.

To build a dataset of car designs with physically accurate representations of their aerodynamics, the researchers started with several baseline 3D models that were provided by Audi and BMW in 2014. These models represent three major categories of passenger cars: fastback (sedans with a sloped back end), notchback (sedans or coupes with a slight dip in their rear profile) and estateback (such as station wagons with more blunt, flat backs). The baseline models are thought to bridge the gap between simple designs and more complicated proprietary designs, and have been used by other groups as a starting point for exploring new car designs.

Library of cars

In their new study, the team applied a morphing operation to each of the baseline car models. This operation systematically made a slight change to each of 26 parameters in a given car design, such as its length, underbody features, windshield slope, and wheel tread, which it then labeled as a distinct car design, which was then added to the growing dataset. Meanwhile, the team ran an optimization algorithm to ensure that each new design was indeed distinct, and not a copy of an already-generated design. They then translated each 3D design into different modalities, such that a given design can be represented as a mesh, a point cloud, or a list of dimensions and specs.

The researchers also ran complex, computational fluid dynamics simulations to calculate how air would flow around each generated car design. In the end, this effort produced more than 8,000 distinct, physically accurate 3D car forms, encompassing the most common types of passenger cars on the road today.

To produce this comprehensive dataset, the researchers spent over 3 million CPU hours using the MIT SuperCloud, and generated 39 terabytes of data. (For comparison, it’s estimated that the entire printed collection of the Library of Congress would amount to about 10 terabytes of data.)

The engineers say that researchers can now use the dataset to train a particular AI model. For instance, an AI model could be trained on a part of the dataset to learn car configurations that have certain desirable aerodynamics. Within seconds, the model could then generate a new car design with optimized aerodynamics, based on what it has learned from the dataset’s thousands of physically accurate designs.

The researchers say the dataset could also be used for the inverse goal. For instance, after training an AI model on the dataset, designers could feed the model a specific car design and have it quickly estimate the design’s aerodynamics, which can then be used to compute the car’s potential fuel efficiency or electric range — all without carrying out expensive building and testing of a physical car.

“What this dataset allows you to do is train generative AI models to do things in seconds rather than hours,” Ahmed says. “These models can help lower fuel consumption for internal combustion vehicles and increase the range of electric cars — ultimately paving the way for more sustainable, environmentally friendly vehicles.”

“The dataset is very comprehensive and consists of a diverse set of modalities that are valuable to understand both styling and performance,” says Yanxia Zhang, a senior machine learning research scientist at Toyota Research Institute, who was not involved in the study.

This work was supported, in part, by the German Academic Exchange Service and the Department of Mechanical Engineering at MIT.

© Credit: Courtesy of Mohamed Elrefaie